What is considered a high standard deviation?

Click For Summary
In assessing variation in behavior among species, a high standard deviation is context-dependent and cannot be defined universally. A common guideline suggests that a standard deviation over 10% of the mean indicates high variation, but this is not always applicable. The Z-Score, which measures how far a data point is from the mean in terms of standard deviations, may provide more relevant insights for modeling. Comparing standard deviations between species can highlight behavioral differences, but without a broader context, the significance of the standard deviation remains unclear. Ultimately, understanding the context and employing additional statistical methods like regression or correlation analysis can enhance the interpretation of variation in behavioral data.
0TheSwerve0
Messages
195
Reaction score
0
I am working on a primatology project where I need to find a way to measure and plot the (somewhat arbitary) level of variation in behavior (ie from one individual to the next) within a single species and then compare it to another species level of variation. I have entered the data for the select behaviors that will go into this calculation, and I have calculated the mean and standard deviation for one species. But what is considered a high standard of deviation? My conclusion depends on such calculations, so any help is appreciated, even suggestions for other ways to mathematically calculate values of variation and represent them in charts/graphs. I only have data for 4-5 individuals per species, so I don't think all charts/graphs will be appropriate.

p.s. I haven't taken any real math since high school, so a simple explanation is best. So far, I've read that if you divide the stdev by the mean and get 10% or over, it's considered a high stdev.
 
Last edited:
Physics news on Phys.org
That depends on what you are trying to do. The standard deviation is generally less important than the Z-Score - i.e. how many standard deviations a particular measurement is from the mean. If you are attempting to model some process then a "large" standard deviation may indicate some problem with your particular model or data collection methodology.

Standard deviation has meaning only in a particular context. In physics, for example, a large standard deviation in the speed of gas particles means the gas is hot!

Also, if you are attempting to model something, you may be more interested in regression or correlation analysis.
 
What you can do is compare standard deviations for the behavioral traits of the two species and say that one species shows a larger deviation than the other. By itself, the standard deviation can't be high or low, without a context. The context is usually provided either by theory (which for something like what you are studying, is hugely inadequate) or by more statistics. If most apecies show a deviation of about d in some parameter, and a particular species shows a much larger deviation (3d, say), you might be able to say something about that species (eg : they like to screw around :biggrin: ). Without something else to compare to, there's not much you can say.

p.s. I haven't taken any real math since high school, so a simple explanation is best. So far, I've read that if you divide the stdev by the mean and get 10% or over, it's considered a high stdev.
That itself must have been written in some specific context. In general, that statement makes little sense. In the standard normal distribution, for instance, the mean is zero. So, by that argument, any standard normal distribution will have a standard deviation that is too high.
 
Last edited:
Cool, that's what I did. As for the 10% thing, I just googled a quick search and found a forum message about it. We know how reliable that can be:-p
 

Similar threads

  • · Replies 42 ·
2
Replies
42
Views
5K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
3
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K